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Test di Breusch-Pagan per l'eteroschedasticità×Eteroschedasticità Condizionale Autoregressiva Generalizzata (GARCH)×
CampoEconometriaEconometria
FamigliaRegression modelRegression model
Anno di origine19791986
IdeatoreTrevor Breusch & Adrian PaganTim Bollerslev
TipoLagrange-multiplier test for heteroskedasticityConditional volatility model
Fonte seminaleBreusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287–1294. DOI ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307-327. DOI ↗
AliasBP test, Breusch-Pagan-Godfrey test, Lagrange multiplier test for heteroskedasticity, Breusch-Pagan değişen varyans testiGARCH(1,1), generalized ARCH, conditional volatility model, GARCH Modeli
Correlati35
SintesiThe Breusch-Pagan test, introduced by Trevor Breusch and Adrian Pagan in 1979, is a Lagrange-multiplier test for heteroskedasticity — the condition where the variance of a regression's errors changes with the explanatory variables. It works by regressing the squared OLS residuals on candidate variables and checking whether they explain any of the residual variation, signalling that the constant-variance assumption is violated.GARCH is an econometric model for the time-varying volatility of financial time series, introduced by Tim Bollerslev in 1986 as a generalisation of Engle's ARCH model. It treats the conditional variance as a function of past squared shocks and past variances, capturing the volatility clustering seen in returns.
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ScholarGateConfronta i metodi: Breusch-Pagan Test · GARCH. Consultato il 2026-06-20 da https://scholargate.app/it/compare